Industrial Engineer, Production Control Tesla - 3.3 Lathrop, CA Job Details Full-time $86,400 - $129,600 a year 21 hours ago Benefits Commuter assistance Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Flextime Adoption assistance Employee assistance program 401(k) matching Employee discount Benefits from day one Pet insurance Qualifications Performance dashboard reports Material handling systems Performance improvement leadership Data visualization software proficiency Production data analysis Distribution operations staff productivity improvements Resource planning methods Dashboard creation Mechanical Engineering Dashboard creation support Six Sigma methodology implementation Value stream mapping Warehouse management system Mid-level Automated material handling systems Process simulation software SQL Manufacturing facility experience Production optimization Business intelligence tools Workforce planning strategy Industrial Engineering Packaging Headcount forecasting Industrial engineering Leading team collaboration initiatives Warehouse experience Supervisory control and data acquisition (SCADA) Collaboration with manufacturing teams Manufacturing Engineering Full Job Description What to Expect Tesla is seeking an Industrial Engineer to own and optimize Production Control (PC) operations at Megafactory California. In this role, you will design and improve material delivery systems across Warehouse and Megafactory (line-side delivery) so the right part arrives at the right place, in the right quantity, at the right time. You will lead work on delivery routes, cycle times, capacity, PFEP, and part presentation, using data, time studies, simulation, and practical floor engagement. You will partner with Production, Planning, Materials, Quality, NPI, and Manufacturing Engineering to remove bottlenecks, improve KPI outcomes, and ensure Production Control never becomes the constraint to scaling sustainable energy production. What You'll Do Own IE support for Production Control end-to-end: Glacier warehouse flow through Megafactory line-side delivery Optimize delivery routes (cycle time, distance, frequency, quantity, workload balance) to improve on-time delivery and reduce line starvation Develop and maintain PFEP standards linking packaging, presentation, replenishment, and route design Drive part presentation improvements (reduce cardboard; design associate-friendly line-side presentation) on critical stations first, then scale Establish and sustain cycle time standards for PC processes and routes; audit and refresh data so decisions stay accurate Build capacity and labor models for PC (routes, shifts, headcount, productivity) aligned to factory rate and mix Partner on OEE Availability & Performance inputs tied to material delivery losses; use time studies, Yamazumi, and

A3/TOC/DMAIC

to close true hurts Build tools and dashboards (Python, SQL, Tableau/Power BI, or equivalent) for route performance, delivery OTIF, cycle time, and capacity visibility Lead and support kaizen on routes, presentation, supermarket/kitting, and delivery flow; document before/after impact Act as the primary IE POC for PC—drive cross-functional closure with Packaging, Process, Quality Ops, and Production; communicate status, risks, asks, and results to leadership What You'll Bring Degree in Industrial, Manufacturing, Operations, Mechanical Engineering, or equivalent experience Experience in industrial engineering within manufacturing, warehousing, material flow, or production control Strong skills in time study / work measurement, route or line balancing, capacity modeling, and labor standards Experience with PFEP, supermarket/kitting, or line-side material presentation Proficiency in data analysis, (advanced Excel; Python and/or SQL preferred) and visualization (Tableau, Power BI, or custom dashboards) Demonstrated ownership in a fast-paced environment: drive cross-functional work to completion, escalate early, and protect operations from impact Strong communication and floor presence—comfortable in Gemba, Tier meetings, and leadership updates Experience with discrete-event simulation and , linear modeling (FlexSim, AnyLogic, Arena, or similar) preferred Familiarity with WMS/MFS, SCADA/Ignition, or MES; Lean toolkit (Kaizen, VSM, Kanban, SMED) and structured problem-solving preferred Exposure to AGV/AMR routes, automated material handling, or high-volume assembly material delivery preferred Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D Short-term and long-term disability insurance (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $86,400 - $129,600/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.